Data Scientist

Job Description:

- Build and deploy models using Python and frameworks such as Scikit learn, XGBoost/CatBoost, TensorFlow, Keras, and Gemini.

- Implement and work with a wide range of ML algorithms, including Regression, Classification, Forecasting, Unsupervised Learning, and Natural Language Processing.

- Build and maintain ML models in production for both real-time and batch based use cases.

- Develop and implement evaluation metrics to measure ML and LLM model performance and effectiveness.

- Strong business acumen and analytical skills

- Ability to analyze business problems, understand data and related potential solutions

- Collaborate with various Business, Operations and Technology stakeholders across Bank

- Results oriented willingness to commit to delivery and take charge

- Comfortable working in a large organization with broad set of stakeholders across various functions

- Curious, self-motivated and interested in an accelerated learning curve

- Preferably banking experience in Credit Risk area

- Having worked on different types of Banking Use cases.

Technical Skills:

1. Data Analytics and AI skills

2. Strong Python knowledge is required

3. SQL programming knowledge is required

4. Banking experience (preferable)

5. Worked on cloud-based data infrastructure (preferable)

6. Can help/develop dashboards out of the data outcomes (preferable)